Company Description

Right-Hand Cybersecurity is building the next generation of Human Risk Management. We help enterprises understand and reduce workforce-related cybersecurity risk through intelligent security awareness, phishing simulations, AI-powered agents, behavioral insights, and risk analytics.

We are a lean, product-driven team building for complex enterprise environments. Engineers work closely with product, design, customers, and company leadership—and have meaningful influence over what we build and how we build it.

The daily fulfillment of this mission would not be possible without the cornerstone of Right-Hand’s business - its people. We firmly believe that if we take care of our employees, they will take care of our customers, and the rest will work itself out. The founding team at Right-Hand has created a culture that evangelises six core values:

Resilience: We solve problems and overcome challenges to the best of our ability, regardless of how daunting they may appear.

Empathy: We listen to and understand the perspective of others, including our peers, customers, partners and investors.

Passion: We care deeply about our work, our customers, each other and this company.

Accountability: We trust each other to get our job done at a high level.

Transparency: We act and communicate openly, honestly, and effectively to drive toward positive outcomes.

Authenticity:

We understand who we are and will surround ourselves with a diverse group of people who complement our skillset and share our values.

If you want to join this mission-driven team and believe you fit the profile below, let’s talk!

About the Role

We are looking for a Quality Automation Engineer—not a traditional QA gatekeeper. You will help build the systems, automation, and feedback loops that support the engineering team in shipping reliable software quickly. Developers own the quality of what they build; your responsibility is to help make effective testing easy, fast, visible, and integrated throughout the development lifecycle.

You will work alongside product engineers, learning the codebase and quality practices while contributing hands-on to test automation, investigating failures, and helping prevent defects rather than only detecting them before release.

This is a hands-on engineering role with room to grow into greater ownership of our release process and quality architecture as you build experience with our systems.

What You Will Do

Contribute to our quality automation strategy

- Support a risk-based automation approach across frontend, backend, integrations, data workflows, and AI-powered features, under guidance from senior engineers.
- Help determine which behaviors should be covered through unit, component, API, or end-to-end testing.
- Help ensure critical customer workflows are protected without creating a slow or excessively brittle test suite.
- Learn and apply the team's quality standards and release-readiness criteria.

Build test automation

- Work within and extend our automation frameworks for React applications, Rails platform, APIs, and supporting services.
- Write reliable end-to-end automation using Playwright or an equivalent modern framework.
- Develop API, database, and service-level tests that identify failures earlier than UI tests.
- Assist with contract testing for internal and third-party service boundaries.
- Automate regression coverage for enterprise workflows, permissions, and integrations, with guidance.




- Build and maintain test-data factories, fixtures, mocks, and isolated test environments.
- Contribute to performance, load, and resilience testing for high-risk workflows.

Support quality in CI/CD

- Help integrate automated tests into pull-request, staging, and release pipelines.
- Apply quality gates defined by the team based on risk, coverage, and test results.
- Help optimize suites through parallelization, sharding, and test selection.
- Identify and help investigate flaky tests, escalating patterns to senior engineers.
- Ensure test failures provide clear, actionable diagnostic information.

Test security-sensitive workflows

- Help build automated regression coverage for authentication, authorization, and role permissions.
- Test negative and abuse scenarios under the guidance of senior engineers and security team members.
- Partner with engineering and security teams to learn and apply security regression testing practices.

Support AI and agent quality practices

- Contribute to evaluation frameworks for non-deterministic AI and agentic product behavior.
- Help test prompt and model changes for regressions rather than relying only on exact-output assertions.
- Assist in defining representative evaluation datasets covering normal and edge-case scenarios.
- Help measure output quality, task completion, consistency, and failure rates.
- Build automated regression coverage for AI-powered workflows under senior guidance.

Use AI to improve quality engineering

- Use AI coding and testing tools to accelerate test-case design, automation development, and failure investigation.
- Help turn requirements and reported issues into proposed test scenarios.
- Review AI-generated tests for weak assertions, missing edge cases, and false confidence, with support from senior engineers.

Support quality visibility

- Help build and maintain dashboards showing automation coverage, pipeline health, and flaky-test rate.
- Flag recurring defect patterns to senior engineers and product stakeholders.
- Use production monitoring, logs, and customer reports to help inform test priorities.

What We Are Looking For

- Approximately 1–3 years of experience in quality engineering, test automation, SDET, or software engineering roles.
- Some hands-on experience contributing to or extending an automation framework.
- Experience in modern browser automation tools such as Playwright, Cypress, or Selenium.
- Experience testing APIs and familiarity with databases and asynchronous workflows.
- Some exposure to integrating automated tests into CI/CD pipelines.
- Foundational understanding of test architecture, test isolation, test data, and mocking.
- Ability to read application code and investigate straightforward failures with support.
- Willingness to learn techniques for reducing flaky tests and improving execution time.
- Basic understanding of security, performance, and negative-path testing concepts.
- Growing product judgment: an interest in understanding what creates real customer risk.




- Good written and verbal communication in a distributed environment.
- Comfort working with ambiguity and a willingness to help build quality practices in a fast-moving organization.
- Some practical experience using AI-assisted development or testing tools, and a habit of validating their output.

Our Technology

Our workplace currently includes

- React and JavaScript/TypeScript
- Ruby on Rails
- Python and Node.js services
- PostgreSQL, MongoDB, DynamoDB, Redis, and Sidekiq
- AWS, ECS/Fargate, S3, SQS, Lambda, and CloudFront
- CI/CD, automated security scanning, CloudWatch, and Recent Relic
- Enterprise integrations with email, identity, and cybersecurity platforms
- Large language models, generative AI, voice AI, and agentic workflows

You do not need experience with every technology. We care more about strong engineering fundamentals, curiosity, and your ability to grow into automation across unfamiliar systems. What “AI-Native Quality Engineering” Means to Us

AI-native quality engineering is not generating hundreds of shallow test scripts.

It means using AI to expand coverage, accelerate investigation, generate realistic data, uncover missing scenarios, and reduce repetitive work—while learning to apply judgment about what matters, whether assertions are meaningful, and whether the resulting automation provides genuine confidence.

We're looking for someone building the judgment to know when AI can accelerate the work and when deterministic engineering, security review, or exploratory testing is required.

You may be an especially strong fit if

- You have contributed to a quality automation function or framework, even as part of a small team.
- You have hands-on experience with Playwright, API automation, or containerized integration testing.
- You have some exposure to multi-tenant enterprise SaaS or cybersecurity products.
- You have curiosity about testing AI agents or other non-deterministic systems.
- You have experimented with performance testing tools such as k6.
- You are eager to learn how to build automated quality dashboards or production-feedback systems.
- You proactively raise specification or testability questions before development begins.

This role may not be the right fit if

- Your primary focus is manually executing predefined regression scripts.
- You expect testing to begin only after engineering marks a feature complete.
- You consider quality the QA team's responsibility rather than a shared engineering responsibility.
- You measure effectiveness by the number of test cases created instead of risk reduced.
- You depend entirely on UI-level automation.
- You accept AI-generated tests without reviewing their assertions, maintainability, and coverage.

Our Benefits Yes, our benefits are great but we hope you want to work at Right-Hand because you believe in our mission to make humans more defensible against cyber threats.

- Competitive Salary
- Paid annual and medical leaves
- Medical benefit
- Flexibility in how and where you work
- Generous parental leave programs
- Wellbeing days
- and more...

Diversity and Inclusion are more than just words for us. Our commitment to inclusion across gender, race, ethnicity, sexual orientation, educational background, religion, ability, socioeconomic background, immigration statuses, and experiences drives us forward every day. We foster an open, tolerant, and constructive work environment with a team consisting of diverse views and backgrounds.

📌 QA Automation Engineer - AI Native (APAC) (India)
🏢 Right-Hand Cybersecurity
📍 India